James R. Gilkerson

4.0k total citations
136 papers, 2.6k citations indexed

About

James R. Gilkerson is a scholar working on Epidemiology, Infectious Diseases and Agronomy and Crop Science. According to data from OpenAlex, James R. Gilkerson has authored 136 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Epidemiology, 38 papers in Infectious Diseases and 35 papers in Agronomy and Crop Science. Recurrent topics in James R. Gilkerson's work include Herpesvirus Infections and Treatments (47 papers), Animal Disease Management and Epidemiology (27 papers) and Bacterial Identification and Susceptibility Testing (19 papers). James R. Gilkerson is often cited by papers focused on Herpesvirus Infections and Treatments (47 papers), Animal Disease Management and Epidemiology (27 papers) and Bacterial Identification and Susceptibility Testing (19 papers). James R. Gilkerson collaborates with scholars based in Australia, United Kingdom and United States. James R. Gilkerson's co-authors include Glenn F. Browning, Carol A. Hartley, Joanne M. Devlin, Daria N. Love, J. M. Whalley, Laura Y. Hardefeldt, Kirsten E. Bailey, Michael J. Studdert, Gary Muscatello and Mark A. Stevenson and has published in prestigious journals such as PLoS ONE, Applied and Environmental Microbiology and Journal of Virology.

In The Last Decade

James R. Gilkerson

130 papers receiving 2.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
James R. Gilkerson Australia 30 1.1k 666 622 393 327 136 2.6k
Jacqueline M. Norris Australia 33 658 0.6× 153 0.2× 1.2k 1.9× 221 0.6× 236 0.7× 155 3.0k
A. J. C. Cook United Kingdom 30 720 0.6× 876 1.3× 699 1.1× 276 0.7× 146 0.4× 107 3.1k
Helmut Hotzel Germany 41 994 0.9× 592 0.9× 1.7k 2.8× 227 0.6× 1.8k 5.5× 170 4.8k
Barbara Willi Switzerland 31 687 0.6× 122 0.2× 1.5k 2.4× 403 1.0× 893 2.7× 86 3.0k
Gertraud Schüpbach‐Regula Switzerland 25 151 0.1× 602 0.9× 472 0.8× 274 0.7× 336 1.0× 113 2.2k
Terry W. Lehenbauer United States 29 363 0.3× 630 0.9× 494 0.8× 256 0.7× 938 2.9× 106 2.4k
Shaun Tyler Canada 34 1.1k 1.0× 169 0.3× 1.6k 2.5× 118 0.3× 391 1.2× 68 4.3k
Bart Pardon Belgium 29 326 0.3× 519 0.8× 958 1.5× 254 0.6× 971 3.0× 169 2.7k
Carola Sauter‐Louis Germany 36 514 0.5× 1.5k 2.2× 1.2k 1.9× 1.2k 3.0× 204 0.6× 171 4.0k
Salah Hammami Tunisia 24 320 0.3× 323 0.5× 702 1.1× 309 0.8× 126 0.4× 101 1.9k

Countries citing papers authored by James R. Gilkerson

Since Specialization
Citations

This map shows the geographic impact of James R. Gilkerson's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by James R. Gilkerson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James R. Gilkerson more than expected).

Fields of papers citing papers by James R. Gilkerson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James R. Gilkerson. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by James R. Gilkerson. The network helps show where James R. Gilkerson may publish in the future.

Co-authorship network of co-authors of James R. Gilkerson

This figure shows the co-authorship network connecting the top 25 collaborators of James R. Gilkerson. A scholar is included among the top collaborators of James R. Gilkerson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with James R. Gilkerson. James R. Gilkerson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Hardefeldt, Laura Y., Stephen W. Page, Jacqueline M. Norris, et al.. (2025). Antimicrobial prescribing guidelines for horses in Australia. Australian Veterinary Journal. 103(12). 781–889.
2.
El‐Hage, Charles, Alistair R. Legione, Joanne M. Devlin, et al.. (2023). Equine Psittacosis and the Emergence of Chlamydia psittaci as an Equine Abortigenic Pathogen in Southeastern Australia: A Retrospective Data Analysis. Animals. 13(15). 2443–2443. 7 indexed citations
3.
Baldwin, Timothy, et al.. (2020). Domain Adaptation and Instance Selection for Disease Syndrome Classification over Veterinary Clinical Notes. Minerva Access (University of Melbourne). 156–166. 7 indexed citations
4.
5.
Allen, Joanne L., et al.. (2019). Spatial Distribution of Salmonella enterica in Poultry Shed Environments Observed by Intensive Longitudinal Environmental Sampling. Applied and Environmental Microbiology. 85(14). 3 indexed citations
6.
Hardefeldt, Laura Y., et al.. (2019). Using natural language processing and VetCompass to understand antimicrobial usage patterns in Australia. Australian Veterinary Journal. 97(8). 298–300. 24 indexed citations
7.
Hardefeldt, Laura Y., James R. Gilkerson, Richard A. Squires, et al.. (2018). Veterinary Students’ Knowledge and Perceptions About Antimicrobial Stewardship and Biosecurity—A National Survey. Antibiotics. 7(2). 34–34. 41 indexed citations
8.
Gilkerson, James R., et al.. (2018). Does only the age of the hen matter in Salmonella enterica contamination of eggs?. Food Microbiology. 77. 1–9. 13 indexed citations
9.
McGreevy, Paul, Peter C. Thomson, Navneet K. Dhand, et al.. (2017). VetCompass Australia: A National Big Data Collection System for Veterinary Science. Animals. 7(10). 74–74. 58 indexed citations
10.
Vaz, Paola K., Timothy J. Mahony, Carol A. Hartley, et al.. (2016). The first genome sequence of a metatherian herpesvirus: Macropodid herpesvirus 1. BMC Genomics. 17(1). 70–70. 7 indexed citations
11.
Muscatello, Gary, et al.. (2013). Bacteria isolated from field cases of equine amnionitis and fetal loss. Australian Veterinary Journal. 91(4). 138–142. 14 indexed citations
12.
El‐Hage, Charles, et al.. (2012). Accelerated vaccination schedule provides protective levels of antibody and complete herd immunity to equine influenza. Equine Veterinary Journal. 45(2). 235–239. 14 indexed citations
13.
Horsington, Jacquelyn, James R. Gilkerson, & Carol A. Hartley. (2010). Identification of mixed equine rhinitis B virus infections leading to further insight on the relationship between genotype, serotype and acid stability phenotype. Virus Research. 155(2). 506–513. 10 indexed citations
14.
Phumoonna, Tongted, Gary Muscatello, James R. Gilkerson, et al.. (2006). Clinical Evaluation of a Peptide‐ELISA based upon N‐terminal B‐cell Epitope of the VapA Protein for Diagnosis ofRhodococcus equiPneumonia in Foals. Journal of Veterinary Medicine Series B. 53(3). 126–132. 9 indexed citations
15.
16.
Devlin, Joanne M., Glenn F. Browning, Carol A. Hartley, et al.. (2006). Glycoprotein G is a virulence factor in infectious laryngotracheitis virus. Journal of General Virology. 87(10). 2839–2847. 63 indexed citations
17.
Love, Daria N., et al.. (2003). Inoculation with DNA encoding the glycoprotein gp2 reduces severity of equine herpesvirus 1 infection in a mouse respiratory model. Archives of Virology. 148(9). 1805–1813. 3 indexed citations
18.
Love, Daria N., et al.. (2002). The C-terminal regions of the envelope glycoprotein gp2 of equine herpesviruses 1 and 4 are antigenically distinct. Archives of Virology. 147(3). 607–615. 8 indexed citations
19.
20.
Gilkerson, James R., Louisa Jorm, Daria N. Love, Glenda Lawrence, & J. Millar Whalley. (1994). Epidemiological investigation of equid herpesvirus-4 (EHV-4) excretion assessed by nasal swabs taken from thoroughbred foals. Veterinary Microbiology. 39(3-4). 275–283. 29 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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